Forward-backward time varying forgetting factor Kalman filter based DOA estimation algorithm for UAV (Unmanned Aerial Vehicle) autolanding

This paper discusses a DOA algorithm for UAV(Unmanned Aerial Vehicle) auto landing. In UAV auto landing with radar system, ground multi path effect and time varying DOA make it difficult to estimate angle information of UAV. This paper proposed a new algorithm based on forward-backward Kalman filter with time varying forgetting factor. This algorithm effectively handles the multipath effect and time varying DOA environments to estimate highly accurate DOA.